모든 평가

AA-Briefcase v1.1: Agentic Knowledge Work Benchmark

A private evaluation developed by Artificial Analysis for frontier agentic capability in long-horizon knowledge work, testing agents on realistic business workflows that require deliverables such as spreadsheets, presentations, and memos.

AA-Briefcase는 수천 개의 입력 파일과 총 91개 과제로 구성된 4개의 다주간 지식 업무 프로젝트에서 모델을 평가합니다. 각 시나리오에서 모델은 데이터 과학, 제품 관리, 기업 전략 등의 분야에서 현실적인 전문 업무 흐름을 완수해야 합니다. 각 시나리오는 에이전트가 순서대로 진행하는 다주간 업무 흐름이며, 매주 여러 과제가 포함됩니다. 각 과제의 결과물은 검사 항목 루브릭으로 평가됩니다. 한 시나리오의 과제들은 여러 주에 걸쳐 파일과 맥락을 공유하지만, 현재 모델은 이전 제출물을 이어받지 않고 각 과제를 독립적으로 실행합니다.

AA-Briefcase데이터과학제품관리은행운영중공업전략1주차2주차3주차4주차5주차6주차과제 1과제 2과제 3과제 4평가시나리오AA-Briefcase는 네 가지 주요 지식 업무 영역을 각각 별도의 프로젝트 시나리오로구성합니다주차각 시나리오는 전문 업무 흐름을 재현하도록 설계된 여러 주차로 구성됩니다과제매주 최대 5개의 과제가 있으며 에이전트는 시나리오와 주차 맥락 안에서 이를 완료해야 합니다검사각 과제는 객관적 루브릭 검사, 분석 품질, 프레젠테이션 품질의 세 차원에서 과제별 기준으로채점됩니다루브릭기준별 이진 통과 또는 실패분석 품질다른 모델과 쌍대 비교프레젠테이션다른 모델과 쌍대 비교

각 과제는 세 가지 유형의 검사로 평가됩니다.

루브릭

검사별 이진 통과 또는 실패

모델이 과제 지시를 따르고, 소스 파일에 숨겨진 요구 사항을 파악하고, 올바른 근거를 사용해 적절한 결론에 도달했나요?

분석 품질

쌍대 비교

다른 모델의 제출물과 비교했을 때 어느 결과물이 더 철저하고 분석적으로 엄밀하며 근거가 충분한가요?

프레젠테이션

쌍대 비교

다른 모델의 제출물과 비교했을 때 어느 것이 더 전문적으로 표현되었나요?

시나리오 구조, 제출 및 채점을 보여 주는 다섯 번째 공개 시나리오를 Hugging Face에 공개했습니다. 이는 시연용이며 AA-Briefcase 공식 결과에는 포함되지 않습니다.

결과

AA-Briefcase Elo

AA-Briefcase v1.1 is an agentic knowledge work benchmark developed by Artificial Analysis. AA-Briefcase Elo is a combined metric that aggregates rubric pass rate, analytical quality Elo and presentation Elo · Higher is better
Not publicly available

AA-Briefcase Elo vs. Cost per Task

AA-Briefcase Elo · Cost per task (USD)
Most attractive quadrant
Pareto line

비용

AA-Briefcase Cost per Task

Mean cost (USD) per task to run AA-Briefcase, calculated from token usage and model pricing including representative cache hit rates
Not publicly available

과제, 제출물 및 채점 예시

Hugging Face에서 제공되는 공개 실사 시나리오의 대표적인 AA-Briefcase 한 주를 살펴보세요. 여기에 표시된 결과물과 채점은 AA-Briefcase가 평가하는 내용을 보여 줍니다. 점수는 대표 모델 집합에 대해 표시됩니다. 이 대표 시나리오의 제출물과 판정은 모델의 AA-Briefcase Elo나 다른 벤치마크 점수에 반영되지 않습니다.
모델
market_overview.pdf
열기
market_overview.tex
열기

점수 비교

AA-Briefcase Elo vs. Artificial Analysis Intelligence Index

AA-Briefcase Elo · Artificial Analysis Intelligence Index
Most attractive quadrant

파일 형식별 결과

결과물 파일 형식(Excel, PowerPoint, PDF, Word, 기타)에 따른 AA-Briefcase 성능입니다.

AA-Briefcase Rubric Pass Rate by File Type (Normalized)

Rubric pass rate by deliverable file type · Scores are normalized per file type across all models tested, where green represents the highest score for that file type and red represents the lowest score for that file type

토큰 사용량

AA-Briefcase Output Tokens per Task

Mean reasoning and answer tokens consumed per AA-Briefcase task
Not publicly available

속도

Time per Task

Wall-clock time (minutes) per task: answer and reasoning generation plus tool execution time · Lower is better

턴 수

Mean Turns per Task

Average number of model turns per AA-Briefcase task · Lower is better
Not publicly available

도구 사용량

AA-Briefcase 실행 중 각 에이전트가 호출한 도구: 도구 범주별 호출 수, 턴당 평균 호출 수, 소스 탐색 범위를 보여 줍니다.

AA-Briefcase Tool Calls Breakdown, Avg per Task

Average tool invocations per AA-Briefcase task, bucketed by intent
Not publicly available

모델 크기(오픈 웨이트 모델만)

AA-Briefcase Elo vs. Total Parameters

AA-Briefcase Elo · Size in parameters (billions) · Open weights models only
Most attractive quadrant

점수 vs. 출시일

AA-Briefcase Elo vs. Release Date

AA-Briefcase Elo · Model release date
Most attractive region

순위표

개발사
이름
Elo
CI
출시일
1
Anthropic logoAnthropic
Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback)1822-12 / +122026년 9월
2
Anthropic logoAnthropic
Claude Sonnet 5.5 (Adaptive Reasoning, Max Effort, Default Fallback)1811-11 / +112026년 9월
3
Anthropic logoAnthropic
Claude Opus 5.5 (Adaptive Reasoning, Xhigh Effort, Default Fallback)1780-11 / +112026년 9월
4
Anthropic logoAnthropic
Claude Sonnet 5.5 (Adaptive Reasoning, Xhigh Effort, Default Fallback)1746-10 / +102026년 9월
5
Anthropic logoAnthropic
Claude Opus 5.5 (Adaptive Reasoning, High Effort, Default Fallback)1705-10 / +102026년 9월
6
Anthropic logoAnthropic
Claude Fable 5.1 (Adaptive Reasoning, Max Effort, Default Fallback)1678-10 / +102026년 9월
7
Anthropic logoAnthropic
Claude Opus 5 (Adaptive Reasoning, Max Effort)1673-10 / +112026년 7월
8
Anthropic logoAnthropic
Claude Fable 5.1 (Adaptive Reasoning, Xhigh Effort, Default Fallback)1669-9 / +102026년 9월
9
SpaceXAI logoSpaceXAI
Grok 4.7 (Xhigh)1657-9 / +92026년 9월
10
Anthropic logoAnthropic
Claude Opus 5 (Adaptive Reasoning, Xhigh Effort)1649-9 / +102026년 7월
11
Anthropic logoAnthropic
Claude Opus 5.5 (Adaptive Reasoning, Medium Effort, Default Fallback)1642-10 / +102026년 9월
12
SpaceXAI logoSpaceXAI
Grok 4.7 (High)1637-10 / +112026년 9월
13
Anthropic logoAnthropic
Claude Sonnet 5.5 (Adaptive Reasoning, High Effort, Default Fallback)1634-10 / +102026년 9월
14
Alibaba logoAlibaba
Qwen3.8 Max (0902)1621-10 / +112026년 9월
15
Anthropic logoAnthropic
Claude Fable 5.1 (Adaptive Reasoning, High Effort, Default Fallback)1592-9 / +102026년 9월

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